Ranked #6 in Data Science, Ranked #16 in Bioinformatics — see more rankings.

To really learn data science, you should not only master the tools--data science libraries, frameworks, modules, and toolkits--but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data... more

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data... more

## Reviews and Recommendations

We've comprehensively compiled reviews of *Data Science from Scratch* from the world's leading experts.

Balaji S. Srinivasan Recommends this book

Thorsten Heller The Best #book to Start your #DataScience Journey - Towards #DataScience https://t.co/D8PlkkSxw6 by @benthecoder1 (Source)

## Rankings by Category

Data Science from Scratch is ranked in the following categories:

- #28 in Big Data
- #23 in Business Statistics
- #53 in Databases
- #21 in Machine Learning
- #18 in Python
- #58 in Statistics